Mikhail Zaslavskiy

17 papers and 1.1k indexed citations i.

About

Mikhail Zaslavskiy is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mikhail Zaslavskiy has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mikhail Zaslavskiy’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Computational Drug Discovery Methods (3 papers). Mikhail Zaslavskiy is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Computational Drug Discovery Methods (3 papers). Mikhail Zaslavskiy collaborates with scholars based in France, United States and Switzerland. Mikhail Zaslavskiy's co-authors include Jean‐Philippe Vert, Francis Bach, Gilles Wainrib, Pierre Courtiol, Matahi Moarii, Elodie Pronier, Thomas Clozel, Francis Bach, Meriem Sefta and Charlie Saillard and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Mikhail Zaslavskiy i

Fields of papers citing papers by Mikhail Zaslavskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Zaslavskiy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikhail Zaslavskiy. The network helps show where Mikhail Zaslavskiy may publish in the future.

Countries citing papers authored by Mikhail Zaslavskiy

Since Specialization
Citations

This map shows the geographic impact of Mikhail Zaslavskiy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikhail Zaslavskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Zaslavskiy more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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